Company:IT Services Organization

Key Skills: SCALA, Pyspark, SQL, Python, AML, Quantexa

Roles and Responsibilities:
Design and develop Quantexa-based data solutions supporting entity resolution, entity matching and Customer 360 capabilities.
Build data engineering components for KYC, AML and fraud detection use cases.
Develop and maintain data processing workflows using distributed data processing technologies.
Translate business and risk requirements into scalable data models, matching logic and decision intelligence solutions.
Investigate data quality issues, validate analytical outputs and support production implementation of Quantexa solutions.

Skills Required:
8 to 10 years of relevant experience in data engineering, data platforms or financial crime technology.




Robust experience as a Data Engineer delivering enterprise data platforms and analytics solutions.
Hands-on experience with entity resolution, entity matching, Customer 360 or decision intelligence implementations.
Experience working with KYC, AML, fraud detection or related financial crime data domains.
Ability to build scalable data processing solutions and integrate diverse structured and unstructured data sources.

Valuable to Have:
Scala, AML, PySpark, Python and SQL experience.

Education: B.Sc., B.Com., B.E., B.Tech, BCA, M.Com, M.Tech, M.B.A., M.E. or M.Sc. in a relevant discipline.

📌 Data Engineer Quantexa 104241 Bengaluru (India)
🏢 MyCareernet
📍 India